Principal Quality Automation Engineer

CINC Systems•Duluth, GA

3d•Remote

About The Position

CINC Systems is the leading provider of accounting and management software for the community association management industry. Our platform powers over 50,000 associations and 6 million homes, connecting property managers, boards, and residents through secure, reliable, and intelligent technology. As we modernize our architecture and delivery practices, quality is no longer a separate function or phase, it is a principle built into every step of the software lifecycle. We are looking for a Principal Quality Automation Engineer who embodies this belief and helps elevate quality across our global engineering community. The Principal Quality Automation Engineer is a hands-on, player-coach engineer who designs and leads quality automation strategies that improve stability, speed, and customer trust across the platform. You will work across teams, helping engineering and product leaders adopt practices that push quality into design and development. You will champion a shift-left mindset, building testability into architectures, automation into pipelines, and quality into daily habits. This is a role for someone who loves building systems as much as testing them, an AI-native engineer who leverages automation, data, and intelligent tooling to make quality scalable. You will influence architecture decisions, drive continuous feedback loops, and help create a culture where quality is everyone’s job.

Requirements

10+ years of software engineering or quality automation experience in large-scale, enterprise-grade systems
Proven success designing and implementing automation frameworks across multiple platforms and architectures
Deep knowledge of modern test automation frameworks (Cypress, Playwright, Selenium, Jest, etc.) and integration with CI/CD systems
Strong background in software architecture, APIs, and event-driven systems, with an understanding of how to design for testability and observability
Familiarity with AI-assisted testing tools or frameworks (e.g., code generation, model-based testing, or anomaly detection in test data)
Experience in cloud-native environments, ideally AWS, with understanding of infrastructure automation and quality validation at deployment
Hands-on experience with Extreme Programming (XP) or similar collaborative practices such as TDD, pairing, and continuous delivery
Exposure to event-driven architectures, microservices, and contract testing
Strong understanding of data-driven quality metrics and DORA-style performance measures
Experience working with cross-functional teams in complex environments requiring alignment, diplomacy, and influence
Highly collaborative player-coach who leads by doing and inspires others through example
Clear and empathetic communicator who can build credibility with engineers, architects, and business leaders alike
Comfortable handling conflict and guiding discussions toward fact-based, data-driven decisions
Skilled at building alignment across teams and driving adoption of new practices through influence rather than authority
Strategic and structured thinker who can connect system design, testing, and customer outcomes into a coherent quality strategy
Believes in built-in quality, not quality as a phase or role
Operates with a shift-left mindset, integrating quality early into design and development
Customer-obsessed, motivated by understanding how people actually use the product
AI-native engineer who leverages automation, learning systems, and tooling to scale quality
Values clarity, feedback, and teamwork as essential to engineering excellence
Continuous learner who experiments, iterates, and improves with humility and curiosity

Responsibilities

Design and implement automation frameworks and test strategies that ensure system stability, resilience, and customer satisfaction
Embed with engineering teams to guide and influence test design, architectural decisions, and development practices that produce built-in quality
Work across the engineering organization to define patterns and practices for unit, integration, and end-to-end testing that align with CI/CD and deployment pipelines
Lead initiatives that use AI-assisted testing, intelligent validation, and self-healing test automation to scale quality across teams
Serve as a technical mentor and coach, teaching engineers how to write better tests, instrument better observability, and think critically about user outcomes
Collaborate with product managers, designers, and engineers to ensure user stories are testable, measurable, and aligned with customer needs
Drive a shift-left quality culture by integrating test feedback early in design and development cycles
Actively participate in design reviews, pairing sessions, and architecture discussions to improve system reliability and testability
Partner with Platform and DevSecOps teams to build automated quality gates, release verification, and quality metrics dashboards
Continuously refine automation coverage, performance, and reliability through experimentation and data-driven learning
Engage with customers and support teams to understand real-world use cases and ensure quality automation reflects customer realities
Evangelize quality engineering practices across the organization through documentation, workshops, and internal community leadership